|About this Abstract
||2016 TMS Annual Meeting & Exhibition
||Characterization of Minerals, Metals, and Materials
||LL-55: Optimization of Vector Field Electron Tomography Using Model Based Iterative Reconstructions
||KC Prabhat, Charles A. Bouman, Marc De Graef, Charudatta Phatak, K. Aditya Mohan
|On-Site Speaker (Planned)
Tomographic reconstruction of the magnetic vector potential, <b>A</b>(<b>r</b>), of magnetic nanoparticles by means of vector field electron tomography (VFET) based on the filtered back-projection (FBP) approach tends to produce inconsistencies that are prominent along the edges of the sample. Hence, we propose a model-based iterative reconstruction (MBIR) approach to improve the reconstruction of <b>A</b>(<b>r</b>). In the case of scalar tomography, the MBIR method is known to yield better reconstructions than the conventional FBP approach, due to the fact that MBIR can incorporate prior knowledge about the system to be reconstructed. We will show how MBIR can be used to optimize vector field tomographic reconstructions via incorporation of prior knowledge, namely that the magnitude of the magnetization vector at each grid node inside the nanoparticle must remain constant. We will use a 2D example vector field to illustrate the approach.
||Planned: A print-only volume